Job Description :

JD

Location : Cincinnati OH / Can work remotely

Duration : 12 Months

 

Responsibilities

 

  • Provide partnership, domain expertise (P&C Insurance), direction, and accountability for strategic architecture plans, system design, and implementation standards for the data domain.
  • Lead efforts to ensure data capabilities are operating efficiently, accurately, and with high quality.
  • Collaborate with programs & projects to understand data dependencies, anticipate risks, and identify opportunities. Guide data project decisions based on the direction of data domain roadmap.
  • Contribute data domain expertise to feasibility, complexity assessments of potential future initiatives including data domain analysis.
  • Develops an integrated view of data capabilities and processes, using a repeatable approach, cohesive framework, and available industry best practices and techniques.
  • Provides consulting and makes recommendations to tackle data transformation initiatives, help mature existing data capabilities, or enable new data capabilities.
  • Facilitate the process of defining and publishing data standards, best practices, data capabilities, and data roadmap, synchronized with the overall enterprise future state architecture.
  • Collaborate in creation of conceptual and logical architecture and models following the enterprise guidance to describe a particular domain of data and use these models to inform the physical design of data-related projects.
  • Co-develop data life cycle governance framework including standards, patterns, and controls.

 

Deliverables

  • Domain Analysis Specification & Findings
  • Clearly define the data domain and its confines
  • Leverage an organizationally accepted and standardized framework (like CMMI) to evaluate and grade maturity within the defined data domain.
  • Identify opportunities for investment along with specified benefits for investment, including the data capability roadmap.
  • Document Data Governance Capabilities (co-create)
  • Data and attribute definitions and master dataset definitions within the data domain.
  • Documentation of domain definition governance processes and platform.
  • Documented capabilities and coverage for data lineage within the data domain.
  • Diagrams overall data landscape within a data domain, including current and future state data flows.
  • Data mapping document (initiate/support)
  • Assist in the creation and delivery of Conceptual & Logical Data Model by providing business level understanding of relationships to other domains and business transactions across the enterprise.

 

Qualifications

  • Must have P&C domain experience.
  • Minimum eight years of relevant experience as a data architect building large-scale data solutions.
  • Experience in architecting and large data modernization, data migration, data warehousing – experience with cloud-based data platforms (like Snowflake)
  • Experience with defining and operationalizing data strategy, data governance, data lineage and quality standards.
  • Extensive knowledge of data engineering, data integration and data management concepts (i.e. APIs, ETL, MDM, CRUD, Pub/Sub, etc.)
  • Experience with data Modeling.
  • Experience with structured and hierarchical datasets (i.e. JSON, XML, etc.)
  • Engineering experience with large scale system integration and analytics projects.

 

             

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